{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "initial_id",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-05T02:46:29.968649Z",
     "start_time": "2025-05-05T02:46:17.842894Z"
    },
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\51165\\anaconda3\\envs\\v312\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "2025-05-05 14:48:36,621 - modelscope - WARNING - Use trust_remote_code=True. Will invoke codes from FineTome-100k. Please make sure that you can trust the external codes.\n",
      "2025-05-05 14:48:37,216 - modelscope - WARNING - Use trust_remote_code=True. Will invoke codes from AI-ModelScope/FineTome-100k. Please make sure that you can trust the external codes.\n",
      "2025-05-05 14:48:37,216 - modelscope - WARNING - Use trust_remote_code=True. Will invoke codes from AI-ModelScope/FineTome-100k. Please make sure that you can trust the external codes.\n",
      "2025-05-05 14:48:37,217 - modelscope - WARNING - Use trust_remote_code=True. Will invoke codes from AI-ModelScope/FineTome-100k. Please make sure that you can trust the external codes.\n"
     ]
    }
   ],
   "source": [
    "from modelscope.msdatasets import MsDataset\n",
    "ds =  MsDataset.load('AI-ModelScope/FineTome-100k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5afe6fa45a3e38b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-05T02:47:05.686567Z",
     "start_time": "2025-05-05T02:47:05.681265Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    train: Dataset({\n",
       "        features: ['conversations', 'source', 'score'],\n",
       "        num_rows: 100000\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f727c9fb766b476",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "v312",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
